Adaptive
Beamforming and Particle Filtering

Keywords

Abstract

: This paper addresses the problem of localizing
a speech source in a reverberant environment. Simulations
and real-time experiments are conducted and several methods
are examined including the traditional
steered-response-power (SRP) and the delay-and-sum
beamformer (DSB). An algorithm that uses a particle filter in
conjunction with an adaptive beamformer is developed,
analyzed, and tested in a reverberant environment. The use of
the particle filter provided improved results, relative to
traditional DSB localization methods, in offline simulations
and real-time experiments.
The rest of the paper is organized as follows. Section II
defines the signal model and provides formulations of the
DSB and the SRP-PHAT methods. Section III defines the
general particle filter framework along with some
implementation details. Section IV describes several
experiments and presents comparative results. Section V
gives the conclusions of this study.
2. SRP SOURCE LOCALIZATION
A. Signal Model
For a source signal s(t) received at an array of M
microphones, the collection of microphone signals
xi(t);i=1,2,..,M-1, can be written as,